Program Format
In-Person
Program Type
Instructor Paced
Program Start/End Date
18 May - 22 May 2025
Enrollment Status
Application Close
Applications open
17 Apr 2025
Application Close
01 May 2025
Program Format
In-Person
Program Type
Instructor Paced
Program Start/End Date
18 May - 22 May 2025
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Program Details

This course focuses on building and managing data pipelines using Python, SQL, and Apache Spark. You will learn how to design and implement data storage and processing systems, optimize data extraction, and efficiently handle large-scale data. Additionally, you will explore SQL and NoSQL databases and apply advanced performance optimization and data security strategies.

Application Criteria
  • Be passionate about technology and innovation – Whether in AI, cybersecurity, UX, or game development, candidates should have a strong motivation to develop their skills in these fields.
  • Have basic knowledge or experience in related areas – Prior familiarity with programming (Python, JavaScript, or C#), data analysis, or design concepts is recommended but not required.
  • Demonstrate analytical and problem-solving skills – Candidates should have an ability to think critically, analyze data, and apply logical reasoning in practical scenarios.
  • Be committed to learning and collaboration – Participants should be ready to engage in live sessions, complete hands-on projects, and actively contribute to team-based activities.
Program Objectives
  • Understand core concepts of data engineering.
  • Build data pipelines using Python and SQL.
  • Work with relational and NoSQL databases.
  • Utilize Apache Spark for large-scale data processing.
  • Optimize queries and automate workflows with Airflow.
  • Prepare data for AI and modeling.
Program Highlights
In-person Sessions
Capstone Projects
Internship Opportunities for Top Performers
Skills You Will Gain
Data Analysis
Data visualization
Data modeling
Data science
Data management
Data Engineering
Application Process
  1. Sign Up
    Sign up to Misk Hub and create your profile
  2. Apply
    Click the Apply button and select the program you are interested in
  3. Evaluation
    We will review your application criteria and decide if the program selected is right for you
  4. Application Confirmation
    Successful applicants will receive an email confirming their program enrollment. We will also share more program-specific information and details about your participation

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